This Keboola Explorer MCP server, developed by Jordan Burger, provides a bridge between AI assistants and the Keboola Connection platform. Built with Python and leveraging libraries like httpx and pandas, it offers tools for exploring and managing Keboola projects, including bucket and table operations, component configurations, and data previews. The implementation focuses on simplifying interactions with Keboola's Storage API, making it accessible for AI models to query and analyze data stored in Keboola. It's particularly useful for tasks like data exploration, project management, and automated reporting, enabling AI assistants to access and manipulate data in Keboola without requiring deep knowledge of the underlying API complexities.
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